In-Vehicle Medic Detection for Driver Medical Emergencies
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Solution Overview
Problem
Current systems that disable or reduce autonomous driving functionality when a driver is not attentive to the driving interface can inadvertently reduce safety for drivers experiencing debilitating medical conditions, as they may not be able to provide attention due to their condition.
Innovation Solution
A medic system that detects debilitating medical conditions in drivers, overrides protocols that reduce autonomous driving functionality due to inattentiveness, and activates latent software and hardware to maximize autonomous driving assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle reduces autonomous driving functionality when driver inattention is detected, then driver attention to the driving interface is improved, but safety is worsened for drivers with debilitating medical conditions
Solution Approach 1:
The system performs preliminary detection of medical conditions through sensors (camera, microphone, biometric sensors) before the driver becomes fully inattentive. By identifying signs of medical distress early, the system can prepare appropriate responses and maintain autonomous functionality proactively rather than reactively reducing it after inattention is detected.
Solution Approach 2:
The system introduces an intermediary medical condition detection and analysis layer between the driver inattention detection and the autonomous driving functionality control. This intermediary layer analyzes whether inattention is due to medical conditions before triggering autonomy reduction, preventing false positives where medically necessary inattention would incorrectly reduce safety-critical autonomous assistance.
2Reliability
If the vehicle maximizes autonomous driving assistance for drivers with medical conditions, then safety is improved, but driver attention monitoring becomes less effective
Solution Approach 1:
The system segments driver inattention into distinct categories: medical condition-related inattention (where autonomous functionality should be maintained or enhanced) and non-medical inattention (where autonomy should be reduced). This segmentation is achieved through multiple independent detection modules (medical symptom detection, attention monitoring) that analyze different aspects of driver behavior separately before integrating their conclusions.
Solution Approach 2:
The system implements feedback loops where sensor data from medical condition detection continuously informs the autonomous driving control system. When medical conditions are detected, the system receives feedback to maintain or increase autonomy levels, creating a closed-loop control mechanism that dynamically adjusts autonomous functionality based on real-time medical status assessment rather than relying solely on attention metrics.
Data Source
AI summary
The disclosure includes embodiments for a medic system to respond to a medical condition of a vehicle occupant. A method according to some embodiments is executed by a processor. The method also includes determining, by the processor, that a driver of an ego vehicle is experiencing a debilitating medical condition. The method also includes overriding a protocol to decrease an autonomy level of the ego vehicle responsive to inattentiveness of the driver to a driving interface of the ego vehicle so that the driver can be inattentive to the driving interface and the autonomy level is not decreased. The method also includes modifying an operation of an autonomous driving system of the ego vehicle to increase the autonomy level of the ego vehicle to decrease a driving responsibility of the driver responsive to the debilitating medical condition.